Research on cloud manufacturing service architecture and consensus algorithm based on blockchain technology

Weijin JIANG; Wenying ZHOU; En LI; Tiantian LUO; Ying YANG

doi:10.11959/j.issn.2096-3750.2023.00305

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Research on cloud manufacturing service architecture and consensus algorithm based on blockchain technology

Theory and Technology | 更新时间：2024-08-16

- Research on cloud manufacturing service architecture and consensus algorithm based on blockchain technology
- Chinese Journal on Internet of Things Vol. 7, Issue 1, Pages: 159-173(2023)
- 作者机构：
  
  1. 湖南工商大学计算机学院，湖南长沙 410205
  2. 湖南信息学院计算机科学与工程学院，湖南长沙 410205
  3. 新零售虚拟现实技术湖南省重点实验室，湖南长沙 410205
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2023.00305
  CLC： TP309
- Online First：2023-03，
  
  Published：30 March 2023
- 稿件说明：
移动端阅览
Weijin JIANG, Wenying ZHOU, En LI, et al. Research on cloud manufacturing service architecture and consensus algorithm based on blockchain technology[J]. Chinese Journal on Internet of Things, 2023, 7(1): 159-173.
DOI：

Weijin JIANG, Wenying ZHOU, En LI, et al. Research on cloud manufacturing service architecture and consensus algorithm based on blockchain technology[J]. Chinese Journal on Internet of Things, 2023, 7(1): 159-173. DOI： 10.11959/j.issn.2096-3750.2023.00305.

摘要

随着信息技术与制造业的深度融合，制造交易网络化成为必然趋势。云制造服务可以实现不受地理空间限制的跨供应商交易，但在交易过程中，存在交易双方的信任难以保障和隐私泄露等问题。为了解决以上问题，提出一种基于双链模式的云制造服务平台架构，将用户数据与交易数据分链存储，并采用实用拜占庭容错（PBFT

practical Byzantine fault tolerance）共识算法解决区块间的数据同步问题。但传统PBFT共识算法在存储和共识效率上存在瓶颈，不适合应用于大规模的制造平台上，因此进一步对PBFT共识算法展开研究，提出结合EigenTrust模型和服务质量（QoS

quality of service）对PBFT共识算法进行改进，优化共识集群的选举过程和一致性协议流程，然后给出制造资源寻租和匹配步骤。仿真实验表明，该研究有效提高了PBFT共识节点的可靠性，提升了平台的运行效率和区块共识速度，节省了数据存储空间。

Abstract

With the deep integration of information technology and manufacturing

the networking of manufacturing transactions has become an inevitable trend.Cloud manufacturing services can realize cross-supplier transactions that are not limited by geographical space

but in the process of transaction

there are problems such as difficulty in guaranteeing the trust of both parties and leakage of privacy.In order to solve the above problems

a cloud manufacturing service platform architecture based on a dual-chain model was proposed

which stores user data and transaction data in separate chains

and adopts a practical Byzantine fault tolerance (PBFT) consensus algorithm to solve the problem of data synchronization between blocks.However

traditional PBFT consensus algorithm has bottlenecks in storage and consensus efficiency

and is not suitable for large-scale manufacturing platforms.Therefore

further research on the PBFT consensus algorithm was carried out.The election process was optimized and the consensus protocol process of the consensus cluster was improved by combining the EigenTrust model and the quality of service (QoS)

and then give the manufacturing resource rent-seeking and matching steps.Analysis and simulation experiments show that this research effectively improves the reliability of PBFT consensus nodes

improves the operating efficiency of the platform and the speed of block consensus

and saves data storage space.

关键词

Keywords

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